135 citations · 163 across the 9 of their papers we have counts for
9 papers
Reporting and Reviewing LLM-Integrated Systems in HCI: Challenges and Considerations
Karla Felix Navarro, Eugene Syriani, Ian Arawjo
What should HCI scholars consider when reporting and reviewing papers that involve LLM-integrated systems? We interview 18 authors of LLM-integrated system papers on their authorin…
How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions
Jingyue Zhang, J. D. Zamfirescu-Pereira, Elena L. Glassman +2
Traditional human-computer interaction takes place through formally-specified systems like structured UIs and programming languages. Recent AI systems promise a new set of informal…
Democratizing Game Modding with GenAI: A Case Study of StarCharM, a Stardew Valley Character Maker
Hamid Zand Miralvand, Mohammad Ronagh Nikghalb, Mohammad Darandeh +3
Game modding offers unique and personalized gaming experiences, but the technical complexity of creating mods often limits participation to skilled users. We envision a future wher…
Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale
Priyan Vaithilingam, Munyeong Kim, Frida-Cecilia Acosta-Parenteau +4
How do we update AI memory of user intent as intent changes? We consider how an AI interface may assist the integration of new information into a repository of natural language dat…
ChainBuddy: An AI Agent System for Generating LLM Pipelines
Jingyue Zhang, Ian Arawjo
As large language models (LLMs) advance, their potential applications have grown significantly. However, it remains difficult to evaluate LLM behavior on user-defined tasks and cra…
Antagonistic AI
Alice Cai, Ian Arawjo, Elena L. Glassman
The vast majority of discourse around AI development assumes that subservient, "moral" models aligned with "human values" are universally beneficial -- in short, that good AI is sy…
Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation
Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman
We ideate a future design workflow that involves AI technology. Drawing from activity and communication theory, we attempt to isolate the new value large AI models can provide desi…
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
Ziwei Gu, Ian Arawjo, Kenneth Li +2
Readers find text difficult to consume for many reasons. Summarization can address some of these difficulties, but introduce others, such as omitting, misrepresenting, or hallucina…
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam +2
Evaluating outputs of large language models (LLMs) is challenging, requiring making -- and making sense of -- many responses. Yet tools that go beyond basic prompting tend to requi…